Bayes Factors for Forensic Decision Analyses with R (Springer Texts in Statistics)
OverviewBayes Factors for Forensic Decision Analyses with R (Springer Texts in Statistics) reads as a certification and exam review title. It should be judged by usefulness and fit rather than promotional language.Learning ApproachA sensible reading path is selective: start wi...
Overview
Bayes Factors for Forensic Decision Analyses with R (Springer Texts in Statistics) reads as a certification and exam review title. It should be judged by usefulness and fit rather than promotional language.
Learning Approach
A sensible reading path is selective: start with the chapter that solves the immediate problem, then widen out for context.
Likely Readers
The natural reader is students, residents, nurses, and clinicians preparing for board or certification exams. A casual browser may miss the point; this is more useful when the buyer already has a course, rotation, certification, or clinical problem in mind.
Editorial Notes
The tone is best approached as professional reference material. It should reward readers who need precise terminology and a clear route back to the subject later.
Book Details
| Author | Silvia Bozza, Franco Taroni, Alex Biedermann |
|---|---|
| Publisher | Springer |
| Publication Date | November 1, 2022 |
| Language | English |
| Print Length | 199 pages |
| ISBN-10 | 3031098382 |
| ISBN-13 | 978-3031098383 |
| Format | Hardcover | Paperback |
| Dimensions | 6.14 x 0.5 x 9.21 inches |
| Item Weight | 15.9 ounces |
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